Skill-Verzeichnis

Wiederverwendbare Skills für AI Agents entdecken.

Durchsuche reale GitHub-Skills nach Aufgabe und prüfe Stars, Trust, Audit, Kategorie und Installationspfad vor der Verwendung.

Jede Empfehlung bleibt mit ihrem Repository, Audit und Installationspfad nachvollziehbar.

Suchergebnisse: genetic-algorithm

Englisches Verzeichnis

🌟100+ 原创 LLM / RL 原理图📚,《大模型算法》作者巨献!💥(100+ LLM/RL Algorithm Maps )

4.5K
Stars
74/100
Trust
Kategorie: ml-automationAudit

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

2.2K
Stars
85/100
Trust
Kategorie: ml-automationAudit

This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.

1.6K
Stars
84/100
Trust
Kategorie: rag-knowledgeAudit

Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.

1.3K
Stars
79/100
Trust
Kategorie: financeAudit

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

10K
Stars
84/100
Trust
Kategorie: ml-automationAudit

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

4.0K
Stars
83/100
Trust
Kategorie: ml-automationAudit

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

3.7K
Stars
80/100
Trust
Kategorie: ml-automationAudit

人工智能学习路线图,整理近200个实战案例与项目,免费提供配套教材,零基础入门,就业实战!包括:Python,数学,机器学习,数据分析,深度学习,计算机视觉,自然语言处理,PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

13K
Stars
71/100
Trust
Kategorie: data-analysisAudit

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.

34K
Stars
80/100
Trust
Kategorie: researchAudit

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

34K
Stars
77/100
Trust
Kategorie: data-analysisAudit

🚀 efficient approximate nearest neighbor search algorithm collections library written in Rust 🦀 .

2.7K
Stars
76/100
Trust
Kategorie: rag-knowledgeAudit

Genetic Programming in Python, with a scikit-learn inspired API

1.9K
Stars
73/100
Trust
Kategorie: ml-automationAudit